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Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
Analyzing social media networks with NodeXL - Chapter-10 Images
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Analyzing social media networks with NodeXL - Chapter-10 Images

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Figures and images from the book: _Analyzing social media networks with NodeXL: Insights from a connected world_

Figures and images from the book: _Analyzing social media networks with NodeXL: Insights from a connected world_

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  • 1. 1Copyright © 2011, Elsevier Inc. All rights Reserved Chapter 10 Twitter Conversation, Entertainment, and Information, All in One Network! Analyzing Social Media Networks with NodeXL Insights from a Connected World
  • 2. 2 Scott Golder (@redlog) is a graduate student in Sociology at Cornell University. He was previously a researcher at HP Labs, and holds an A.B. in Linguistics with Computer Science from Harvard University and an M.S. in Media Arts and Sciences from the MIT Media Laboratory. His research interests broadly include network and social identity effects online, which he has examined in a variety of environments including usenet, online poker, social bookmarking and social network services. His website is www.redlog.net. Vladimir Barash (@vlad43210) is a graduate student in Information Science at Cornell University. He holds a BA in Cognitive Science from Yale University. His research interests include social media, online communities and diffusion, and his thesis topic is on the structural properties of diffusion in social networks. His websited is www.vlad43210.com
  • 3. 3Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.1 Chapter10 Estimated growth of Twitter. The growth curve shows sharp increases in March 2007 and April 2009, because of the SXSW festival and The Oprah Winfrey Show .
  • 4. 4Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.2 Chapter10 Twitter’s web-based interface. Its most prominent contents are a stream of tweets (left) and a dashboard with user-specific information (right).
  • 5. 5Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.3 Chapter10 TweetDeck is a popular desktop-based Twitter client.
  • 6. 6Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.4 Chapter10 Twhirl is a popular desktop-based Twitter client.
  • 7. 7Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.5 Chapter10 A tweet with an @reply message. This message is sent from @vlad43210 to @redlog.
  • 8. 8Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.6 Chapter10 An interesting tweet posted by @ASAnews. This tweet starts a retweet chain (see the next figures).
  • 9. 9Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.7 Chapter10 @redlog retweets the tweet posted by @ASAnews. The @ASANews message about David Brooks’ article now spreads to @redlog’s followers, even if they don’t follow @ASANews directly.
  • 10. 10Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.8 Chapter10 @vlad43210 retweets @redlog’s retweet of the tweet posted by @ASAnews. The message now spreads to @vlad43210’s followers, even if they do not follow either @ASAnews or @redlog. In this way, messages can spread via retweets and reach a very large audience.
  • 11. 11Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.9 Chapter10 The friends and followers network is an information/ attention network . This figure shows Scott with two friends (Pee-Wee and Derek) and two followers (Marc and Vlad).
  • 12. 12Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.10 Chapter10 The middle actor is a bridge between two communities. The top, red numbers above the actors are their eigenvector centrality, and the bottom, blue numbers are their betweenness centrality.
  • 13. 13Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.11 Chapter10 The NodeXL Import menu. Note there are two options that import Twitter data, from a user’s network and from a search query.
  • 14. 14Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.12 Chapter10 NodeXL’s Twitter User’s Network import screen. The levels options selected will import both @vlad43210’s friends and followers, as well as any friend/follower connections between them.
  • 15. 15Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.13 Chapter10 The @vlad43210’s 1.5-degree egocentric Twitter network. The vertex at the center is @vlad43210, the many vertices at the edges represent @vlad43210’s weak social ties, most of them complete strangers.
  • 16. 16Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.14 Chapter10 The @vlad43210’s 1.5-degree egocentric Twitter network. We have filtered out the complete strangers to focus on @vlad43210’s strong social ties — his friends and colleagues. Two clusters emerge (top right and bottom left).
  • 17. 17Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.15 Chapter10 The @vlad43210 1.5-degree egocentric Twitter network (strong social ties only). NodeXL automatically identifi es the clusters and colors them differently. Top right (green) corresponds to @vlad43210’s friends, and bottom left (purple) corresponds to his academic colleagues.
  • 18. 18Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.16 Chapter10 The @vlad43210 1.5-degree egocentric Twitter network. Greener vertices have higher eigenvector centrality, and larger vertices have higher betweenness centrality.
  • 19. 19Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.17 Chapter10 The @vlad43210 1.5-degree egocentric Twitter network. Greener vertices have higher eigenvector centrality, and larger vertices have higher betweenness centrality. Thicker edges correspond to users that @reply to @vlad43210 or mention his username in one of their tweets.
  • 20. 20Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.18 Chapter10 Twitter Search Network import dialog. The options selected import the first 100 people to mention “Black Friday” in their tweets, and all of the Follows, Replies-to, and Mentions relationships between them.
  • 21. 21Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.19 Chapter10 Twitter mentions network for “Black Friday.” Note that the network resembles a set of connected stars: around @Shop- NPartyGirl, @luv_mydaschund, and @sdiego1717, respectively.
  • 22. 22Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.20 Chapter10 Twitter mentions network for “Black Friday.” Thicker edges represent retweets of @ShopNPartyGirl’s messages.
  • 23. 23Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.21 Chapter10 Twitter mentions network for “Black Friday.” @ShopNPartyGirl and her friend/ follow relationships are highlighted in red. Greener vertices have more tweets, larger vertices have more followers.
  • 24. 24Copyright © 2011, Elsevier Inc. All rights Reserved FIGURE 10.22 Chapter10 Twitter mentions network for “Black Friday.” @ShopNPartyGirl and her friend/ follow relationships are highlighted in red. Greener vertices have more tweets, larger vertices have more followers. @ShopNPartyGirl is represented in the canvas by her Twitter profile image.

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